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Data Engineering and Intelligent Computing pp 309–318Cite as

A Proposal on Application of Nature Inspired Optimization Techniques on Hyper Spectral Images

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

Hyper spectral image are used in various applications such as geological systems, geo sciences and astronomy. These images are acquired using remote sensing. Remote sensing is the process of getting information about an object without making any physical contact with the object. Satellite Images referred as hyper spectral images are the most used images in remote sensing and are of more interest to find out the classification of objects in those images. The classification can give us the important factors like vegetation, buildings, roads and more. Satellite images can be of assistance in supervision of effects due to natural disasters, to recognize mining areas which are hidden from human view, biodiversity examination, rural and urban environment detection for analysis, etc. However, occasionally the Satellite images acquired can be affected by unforeseen distortions, artificial unwanted structures called artifacts that are formed by the tool itself or sometimes due to the diverse pre-processing procedures involved. Optimization algorithms in combination with Image processing methods are used to classify the objects in satellite images for easy perception and analysis. In this paper, various optimization techniques like particle swarm optimization (PSO), DPSO, HSO, and Proposed MFA optimization algorithms are compared to obtain optimal classification of objects in a satellite image.

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Acknowledgements

The authors are thankful to JNTUCEA, Anantapuramu and Annamacharya Institute of Technology & Sciences, Rajampet, A.P. for their extensive support in carrying our research work by providing research facilities.

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Authors and Affiliations

  1. Research Scholar-ECE, Jawaharlal Nehru Technological University, Anantapuramu, Andhra Pradesh, India

    M. Venkata dasu

  2. Sri Venkateswara College of Engineering, Tirupati, Andhra Pradesh, India

    P. VeeraNarayana Reddy

  3. Jawaharlal Nehru Technological University, Pulivendula, Andhra Pradesh, India

    S Chandra Mohan Reddy

Authors
  1. M. Venkata dasu
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  2. P. VeeraNarayana Reddy
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  3. S Chandra Mohan Reddy
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Corresponding author

Correspondence to M. Venkata dasu .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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Venkata dasu, M., VeeraNarayana Reddy, P., Chandra Mohan Reddy, S. (2018). A Proposal on Application of Nature Inspired Optimization Techniques on Hyper Spectral Images. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_29

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

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